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Thoughts. Selecting Supply Chain Software

Supply Chain Shaman

In 2012, when I started Supply Chain Insights , I believed that I could revolutionize the purchase of supply chain planning solutions by initiating a rating and review process across trading partners. Business leaders see the open sharing of feedback on software as too risky. How can I improve the process of software selection?

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Probabilistic Forecasting: The Future of Supply Chain Planning

ToolsGroup

Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires.

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The Supply Chain Merry-Go-Around

Supply Chain Shaman

Aptean is orchestrating the Blue Yonder/E2open/Infor playbook of buying undervalued assets and milking the maintenance and Software-as-a-Service contracts with existing customers. In contrast, Blue Yonder is investing $1 billion over three years in the platform for their solutions. OMP: A lot of new chiefs. The jury is out.

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What Today’s Modern BI Systems Do That Legacy Reporting Tools Can’t

Silvon Software

Thats why modern BI systems are quickly becoming the go-to solution for data-driven enterprises. They integrate, align, and activate data across the business to drive better, faster decisions unlike legacy reporting tools that can’t. Think of it as the central nervous system of your analytics ecosystem.

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Battered by Fierce Winds. Will E2open Survive?

Supply Chain Shaman

This notice of the Rodanthe house purchase by the National Park Service was listed in my news feed above an article that Elliott Management Partners announced a confirmed 13.8% Software Survival in Battered Seas? This SPAC improved the management team’s pockets and gave E2open funds for a buying spree. Impact on Market?

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Market Beat. Four Thumbs Down and One Thumb Up.

Supply Chain Shaman

Today, supply chain excellence matters more than ever. Until there are clear answers, business leaders should avoid buying software from companies with deep investments by venture capitalists. Likewise, data scientists are long on the understanding of software approaches but short on understanding the business.

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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

Beyond simply improving forecast accuracy, todays ML-powered demand forecasting software uncovers hidden supply trends, anticipates pricing fluctuations, and enables proactive supply chain planning decisions. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.